{"title":"模拟宿主内抗菌素耐药性的进化动力学","authors":"K. Tsaneva","doi":"10.24072/pci.mcb.100007","DOIUrl":null,"url":null,"abstract":"Overview: This paper deals with the construction and analysis of a mathematical model to understand the efficacy of chemotherapy on bacterial growth and evolution. The authors focus on non-binary levels of resistance (i.e. resistance that is continuously changing above and below the minimum inhibitory concentration (MIC)). They use their integro-differential equation mdodel to provide quantitative descriptions of bacterial growth and population size and the evolution of its level of resistance. topic with potential extensions outside of bacterial growth in cancer","PeriodicalId":326568,"journal":{"name":"Peer Community In Mathematical and Computational Biology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling within-host evolutionary dynamics of antimicrobial resistance\",\"authors\":\"K. Tsaneva\",\"doi\":\"10.24072/pci.mcb.100007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Overview: This paper deals with the construction and analysis of a mathematical model to understand the efficacy of chemotherapy on bacterial growth and evolution. The authors focus on non-binary levels of resistance (i.e. resistance that is continuously changing above and below the minimum inhibitory concentration (MIC)). They use their integro-differential equation mdodel to provide quantitative descriptions of bacterial growth and population size and the evolution of its level of resistance. topic with potential extensions outside of bacterial growth in cancer\",\"PeriodicalId\":326568,\"journal\":{\"name\":\"Peer Community In Mathematical and Computational Biology\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Peer Community In Mathematical and Computational Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24072/pci.mcb.100007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Peer Community In Mathematical and Computational Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24072/pci.mcb.100007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling within-host evolutionary dynamics of antimicrobial resistance
Overview: This paper deals with the construction and analysis of a mathematical model to understand the efficacy of chemotherapy on bacterial growth and evolution. The authors focus on non-binary levels of resistance (i.e. resistance that is continuously changing above and below the minimum inhibitory concentration (MIC)). They use their integro-differential equation mdodel to provide quantitative descriptions of bacterial growth and population size and the evolution of its level of resistance. topic with potential extensions outside of bacterial growth in cancer